Souza, Cristian H.M. 
; Pascoal, Túlio ; Neto, Emidio P. ; Sousa, Galileu B. ; Filho, Francisco S.L. ; Batista, Daniel Macêdo ; Dantas Silva, Felipe S.
Source: Journal of Information Security and Applications. Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, SEGURANÇA DE REDES
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SOUZA, Cristian H.M. et al. SDN-based solutions for malware analysis and detection: state-of-the-art, open issues and research challenges. Journal of Information Security and Applications, v. 93, n. artigo 104145, p. 1-14, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.jisa.2025.104145. Acesso em: 04 ago. 2025.APA
Souza, C. H. M., Pascoal, T., Neto, E. P., Sousa, G. B., Filho, F. S. L., Batista, D. M., & Dantas Silva, F. S. (2025). SDN-based solutions for malware analysis and detection: state-of-the-art, open issues and research challenges. Journal of Information Security and Applications, 93( artigo 104145), 1-14. doi:10.1016/j.jisa.2025.104145NLM
Souza CHM, Pascoal T, Neto EP, Sousa GB, Filho FSL, Batista DM, Dantas Silva FS. SDN-based solutions for malware analysis and detection: state-of-the-art, open issues and research challenges [Internet]. Journal of Information Security and Applications. 2025 ; 93( artigo 104145): 1-14.[citado 2025 ago. 04 ] Available from: https://doi.org/10.1016/j.jisa.2025.104145Vancouver
Souza CHM, Pascoal T, Neto EP, Sousa GB, Filho FSL, Batista DM, Dantas Silva FS. SDN-based solutions for malware analysis and detection: state-of-the-art, open issues and research challenges [Internet]. Journal of Information Security and Applications. 2025 ; 93( artigo 104145): 1-14.[citado 2025 ago. 04 ] Available from: https://doi.org/10.1016/j.jisa.2025.104145
